GENERATIVITY, COGNITIVE REAPPRAISAL, AND OPTIMIZING SELF-ACCEPTANCE ACROSS MID LIFE AND OLD AGE

Abstract Midlife is an opportune time during which individuals can establish patterns of behavior (e.g., generativity) and self-regulatory processes (e.g., emotion regulation) that will optimize their psychological wellbeing and aging. We sought to test whether: 1.) generativity is directly associated with better self-acceptance, 2.) the effect of generativity is indirect and mediated by emotion regulation (i.e., cognitive reappraisal), and 3.) age moderates associations among generativity, cognitive reappraisal, and self-acceptance. Using data from the second and third waves of the Midlife in the United States (MIDUS) study (N=935, Mage=54.36, SD=11.05, Range = 34-83, 55.08% Female), results revealed that cognitive reappraisal (β= 0.07, p< .01) and older age (β= 0.06, p= .02) were associated with higher self-acceptance; however, generativity was not, and age did not predict generativity nor cognitive reappraisal. Generativity was associated with more frequent use of cognitive reappraisal (β= 0.16, p< .001), with cognitive reappraisal then significantly mediating the association between generativity and self-acceptance (Natural Indirect Effect= 0.02, SE= .01, p= .02). Age significantly interacted with generativity when predicting self-acceptance (β= 0.39, p= .02), such that the effect of generativity increased with age. These findings are important for reframing midlife as a critical developmental stage during which individuals can engage in behaviors and self-regulatory processes that optimize their self-acceptance throughout the aging process. As age did not moderate most associations, interventions could target generativity to promote effective emotion regulation and cognitive reappraisal to enhance self-acceptance across adulthood and into later life given its positive implications for wellbeing, health, and longevity.


DEPRESSIVE TENDENCIES AND NEGATIVE LIFE EVENTS AS PREDICTORS OF HOMEBOUND STATUS AMONG OLDER ADULTS IN JAPAN
Koji Fujita 1 , Sachiko Yamazaki 2 , Hiromi Imuta 3 , Roseline Yong 4 , Hiroko Matsunaga 5 , and Yoshinori Fujiwara 1 , 1. Tokyo Metropolitan Institute for Geriatrics and Gerontology,Tokyo,Tokyo,Japan,2. Bunkyo Gakuin University,Fujimino,Saitama,Japan,3. Tokyo Metropolitan University,Arakawa,Tokyo,Japan,4. Akita University,Akita,Akita,Japan,5. Tokyo Metropolitan Institute of Gerontology,Tokyo,Tokyo,Japan This study aimed to examine negative life events (NLEs) and depressive tendencies as predictors of homebound status, which poses a risk of long-term frailty in older adults.A population-based cohort study (2018-2020) using selfadministered questionnaires was conducted with older adults (65-94 years) in the rural community of Akita Prefecture, Japan.The response rate at the baseline survey in 2018(T1) was 61.5%.About 81.1% (1,048 out of 1,291) of the participants at T1 responded to the follow-up survey in 2020 (T2).Among them, 77.3% (810) were not homebound at T1.After data cleaning, 790 participants' data were analyzed.A frequency of going out less than once a week was considered a homebound status.In this study, NLEs included 1) loss of a close relative, 2) major illness or injury to oneself, 3) major illness or injury to a family member, 4) financial difficulties, and 5) loss of one's role (family, workplace, society, others).Depressive tendencies were evaluated using the 6-item Kessler Psychological Distress Scale (0-24 scale).A K6 score ≥ 9 indicates depressive tendencies.Logistic regression analysis was adjusted for potential confounders.The incidence of being homebound at two years was 10.1% for men and 17.1% for women, with a significant gender difference (p< 0.01).The adjusted odds ratio for depressive tendencies was 3.37 (95%CI= 1.62-7.01)among homebound (vs.nonhomebound) individuals.However, the five NLEs were not statistically significant.Our results suggest that depressive tendencies, but not NLEs, can cause older adults to remain housebound.
Abstract citation ID: igad104.2688Midlife is an opportune time during which individuals can establish patterns of behavior (e.g., generativity) and self-regulatory processes (e.g., emotion regulation) that will optimize their psychological wellbeing and aging.We sought to test whether: 1.) generativity is directly associated with better self-acceptance, 2.) the effect of generativity is indirect and mediated by emotion regulation (i.e., cognitive reappraisal), and 3.) age moderates associations among generativity, cognitive reappraisal, and self-acceptance.Using data from the second and third waves of the Midlife in the United States (MIDUS) study (N=935, Mage=54.36,SD=11.05,Range = 34-83, 55.08% Female), results revealed that cognitive reappraisal (β= 0.07, p< .01)and older age (β= 0.06, p= .02)were associated with higher self-acceptance; however, generativity was not, and age did not predict generativity nor cognitive reappraisal.Generativity was associated with more frequent use of cognitive reappraisal (β= 0.16, p< .001),with cognitive reappraisal then significantly mediating the association between generativity and self-acceptance (Natural Indirect Effect= 0.02, SE= .01,p= .02).Age significantly interacted with generativity when predicting self-acceptance (β= 0.39, p= .02),such that the effect of generativity increased with age.These findings are important for reframing midlife as a critical developmental stage during which individuals can engage in behaviors and self-regulatory processes that optimize their self-acceptance throughout the aging process.As age did not moderate most associations, interventions could target generativity to promote effective emotion regulation and cognitive reappraisal to enhance self-acceptance across adulthood and into later life given its positive implications for wellbeing, health, and longevity.Older women Veterans have a high burden of comorbid medical and mental health conditions and may be particularly at risk for co-occurring insomnia and unhealthy alcohol use.Some research suggests rates of both increased during the COVID-19 pandemic; however, few studies extended beyond pandemic year one or examined administrative data.Using Department of Veterans Affairs (VA) electronic health record data, we examined rates of insomnia (diagnoses, prescription insomnia medications) and unhealthy alcohol use (diagnoses, positive alcohol screens) in a national sample of women Veterans aged 50 years and older (N=239,638) prior to and during the pandemic (March 2018(March -2022)).During this timeframe, insomnia rates increased across age groups.Annual insomnia rates were highest among women ages 50-59 (12.8-14.9%)and lower for women age 60 and older (6.2-12.1%).The annual rate of unhealthy alcohol use was also highest among women ages 50-59 (13.9-15.3%)and lower for women age 60 and older (5.4-12.9%).For the youngest and oldest age groups, rates of unhealthy alcohol use decreased annually until 2021 and then increased; for women aged 60-79, rates increased except in 2020, when rates declined.The proportion of women with both conditions in a given year ranged from .5-2.9% and was highest at younger ages and lowest at older ages.Together, results indicate annual rates of insomnia and unhealthy alcohol use during COVID were highest in midlife women but increased over time across ages, signaling a potential need for intervention and prevention efforts aimed at addressing sleep health and alcohol use across mid-late adulthood.

GENERATIVITY, COGNITIVE REAPPRAISAL, AND OPTIMIZING SELF-ACCEPTANCE ACROSS MID LIFE AND OLD AGE
Abstract citation ID: igad104.2690

THE ASSOCIATIONS OF OPIOID USE IN GUN-RELATED FATALITIES AMONG OLDER DECEDENTS IN FLORIDA
Armiel Suriaga, Ruth Tappen, and David Newman, Florida Atlantic University, Boca Raton, Florida, United States In 2020, the Center for Disease Control and Prevention reported the highest firearm deaths in the U.S. at 45, 222.Homicides and suicides accounted for most fatalities.However, the role of opioids in firearm-related deaths (FRD) among older adults was less explored.Our study aimed to investigate the associations between opioid use and FRD among people >65 years with opioids detected in their system at time of death.We used descriptive statistics to describe decedents' characteristics using the 2021 Florida Department of Law Enforcement de-identified data.We used Pearson's chi-square and logistic regression to examine the associations of opioids to FRD.All data were analyzed using Stata 17.A total of 1982 older decedents were included in the analysis.Age ranged from 65-100 years, mean 72.97 (SD=7.331).Three hundred thirty of 1982 deaths (16.65%) were gunrelated; 121 of 330 (14.79%) had opioid involvement.More males (n=274) (83.03%) died than females; 316 (95.76%) were non-Hispanic whites, followed by black (n=10, 3.03%).Suicides accounted for most FRDs (n=330, or 90.91%), and homicide second (n=28 or 7.88%).The association between opioid use to FRD was statistically significant (p<.001).The odds of dying from FRD among older adults with any opioid use increased by .57compared to those who never used any opioid, controlling for opioids combined with other substances, age, gender, and population density, OR=.57(95% CI .41-.79).Our results have safety clinical implications as more older adults use opioids, e.g. for chronic pain, which calls for tailored interventions to protect older population.

PERCEPTIONS OF AND ATTITUDES TOWARD AGING
Abstract citation ID: igad104.2691

AGEISM IN THE USE AND DESIGN OF DIGITAL TECHNOLOGY: A THEORETICAL MODEL Ittay Mannheim, Ben Gurion University, Beer-Sheva, HaDarom, Israel
Ageism is currently defined as a main societal challenge for successful and healthy aging.Concurrently, the vast development of digital technology in the last decades highlights a newly under-researched intersection of ageism and the use and design of digital technology.However, a theoretical model explicating how ageism may influence the use and design of technology is currently missing.A proposed model was created based on a mixed-methods approach combining findings from 5 studies of a doctoral Madeline Nichols 1 , John Geldhof 1 , and Robert Stawski 2 , 1. Oregon State University, Corvallis, Oregon, United States, 2. University of Essex, Colchester, England, United King dom